"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a				=logging.get_logger(__name__)

a				={
    'kssteven/ibert-roberta-base': 'https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json',
    'kssteven/ibert-roberta-large': 'https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json',
    'kssteven/ibert-roberta-large-mnli': (
        'https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'
    ),
}






class   __UpperCAmelCase		(      __lowerCAmelCase      ):
				A__ :  List[Any]    				=			'''ibert'''

				def __init__( self      ,					_lowerCamelCase=30522      ,					_lowerCamelCase=768      ,					_lowerCamelCase=12      ,					_lowerCamelCase=12      ,					_lowerCamelCase=3072      ,					_lowerCamelCase="gelu"      ,					_lowerCamelCase=0.1      ,					_lowerCamelCase=0.1      ,					_lowerCamelCase=512      ,					_lowerCamelCase=2      ,					_lowerCamelCase=0.0_2      ,					_lowerCamelCase=1E-12      ,					_lowerCamelCase=1      ,					_lowerCamelCase=0      ,					_lowerCamelCase=2      ,					_lowerCamelCase="absolute"      ,					_lowerCamelCase=False      ,					_lowerCamelCase="none"      ,					**_lowerCamelCase      ,					):
										super().__init__(pad_token_id=_lowerCamelCase      ,					bos_token_id=_lowerCamelCase      ,					eos_token_id=_lowerCamelCase      ,					**_lowerCamelCase )

										lowerCamelCase__   =vocab_size
										lowerCamelCase__   =hidden_size
										lowerCamelCase__   =num_hidden_layers
										lowerCamelCase__   =num_attention_heads
										lowerCamelCase__   =hidden_act
										lowerCamelCase__   =intermediate_size
										lowerCamelCase__   =hidden_dropout_prob
										lowerCamelCase__   =attention_probs_dropout_prob
										lowerCamelCase__   =max_position_embeddings
										lowerCamelCase__   =type_vocab_size
										lowerCamelCase__   =initializer_range
										lowerCamelCase__   =layer_norm_eps
										lowerCamelCase__   =position_embedding_type
										lowerCamelCase__   =quant_mode
										lowerCamelCase__   =force_dequant






class   __UpperCAmelCase		(      __lowerCAmelCase      ):

				@property
				def 						_a      ( self ):
										if self.task == "multiple-choice":
																lowerCamelCase__   ={0: "batch", 1: "choice", 2: "sequence"}
										else:
																lowerCamelCase__   ={0: "batch", 1: "sequence"}
										return OrderedDict(
										    [
										        ("input_ids", dynamic_axis),
										        ("attention_mask", dynamic_axis),
										    ] )



"""simple docstring"""


from __future__ import annotations

a				='#'






class   __UpperCAmelCase		:

				def __init__( self ):
										lowerCamelCase__   ={}

				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =self._trie
										for char in text:
																if char not in trie:
																						lowerCamelCase__   ={}
																lowerCamelCase__   =trie[char]
										lowerCamelCase__   =True

				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =self._trie
										for char in prefix:
																if char in trie:
																						lowerCamelCase__   =trie[char]
																else:
																						return []
										return self._elements(_lowerCamelCase )






				def 						_a      ( self      ,					_lowerCamelCase ):
										lowerCamelCase__   =[]
										for c, v in d.items():
																lowerCamelCase__   =[" "] if c == END else [(c + s) for s in self._elements(_lowerCamelCase )]
																result.extend(_lowerCamelCase )
										return tuple(_lowerCamelCase )





a				=Trie()
a				=('depart', 'detergent', 'daring', 'dog', 'deer', 'deal')
for word in words:
	trie.insert_word(word)





def      lowerCamelCase_					(   __lowerCAmelCase							)				->   tuple:




						'''simple docstring'''



						lowerCamelCase__   =trie.find_word(__lowerCAmelCase							)
						return tuple(string + word for word in suffixes							)





def      lowerCamelCase_					(   )				->   None:




						'''simple docstring'''



						print(autocomplete_using_trie("de"							)							)


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()


